As a Lead Developer, you’ll drive the creation of new software products and enhancements to our existing platform. Description Palosade is on a mission to help companies protect their operations and customers by advancing the state of AI security. The ideal candidate is a self-motivated team player and proven leader. As a Lead Developer, you’ll drive the creation of new software products and enhancements to our existing platform. You thrive in large-scale environments, communicate clearly across teams, and inspire engineering excellence. Location In-person in Pune, India Responsibilities Invent, design, and implement scalable, efficient, and reliable solutions Translate user stories into rapid prototypes and production-ready features—estimating effort, iterating with the product team, writing tests, and shepherding code through review Own end-to-end delivery: continuous integration, automated regression testing, and smooth deployments while maintaining and refactoring our existing codebase Collaborate in a dynamic, iterative environment where innovation and feedback fuel our success Evolve and document our architecture to ensure robustness, performance, and security Partner with UX/UI designers to shape intuitive workflows and polished interfaces Qualifications 10+ years of professional software development experience 5+ years of full-stack development, with deep fluency in modern JavaScript/TypeScript and at least one backend language (e.g., Python, Java) 5+ years building services with frameworks such as Next.js, Node.js, Flask, or Spring 3+ years with front-end frameworks like React or Angular 3+ years architecting and operating solutions in public clouds (AWS, GCP, or Azure) Strong grasp of OWASP Top 10 and secure coding best practices Bachelor’s degree in Computer Science or a related discipline AI/ML Expertise Hands-on experience building AI/ML-driven applications leveraging large language models (LLMs) Familiarity with foundational model families (e.g., GPT, LLaMA, PaLM) and their deployment considerations Proven skills in data preparation, prompt engineering, fine-tuning, or training custom models on domain-specific data Understanding of MLOps workflows: model versioning, evaluation metrics, monitoring, and continuous improvement
Palosade is on a mission to help companies protect their operations and customers by advancing the state of AI security. The ideal candidate is a self-motivated team player and proven leader. As a Forward Deployed AI Engineer, you will partner with customers to understand their pain points, design AI-powered agents that address those needs, and deliver measurable value. Responsibilities Brainstorm with customers to understand current security and engineering processes and identify automation opportunities Build prototypes tailored to customers on our AI agent platform for demos and proof-of-concepts Deploy AI agents into customer environments and build integrations to customer data and tools Collaborate with customers using AI engineering techniques to validate efficacy of the AI agents and demonstrate measurable improvements Work with our core engineering team to productize prototypes Document playbooks for customers and contribute to internal knowledge base for best practices and insights from customer engagements to keep enhancing the product Qualifications 5+ years of experience in software, solutions, or customer engineering roles with a strong emphasis on customer facing engagements Strong understanding of DevSecOps practices such as code review, design review, threat modeling, vulnerability scanning, software supply chain Hands-on experience building AI/ML-driven applications leveraging large language models (LLMs) Proven skills in data preparation, prompt engineering, and RAG pipelines Understanding of evaluation metrics, monitoring, and continuous improvement Proficient with APIs, JSON, and low-code / no-code platforms such as n8n 3+ years of deep fluency in modern JavaScript/TypeScript and Python 3+ years architecting and operating solutions in public clouds (AWS, GCP, or Azure) Bachelor’s degree in Computer Science or a related discipline